supplemental.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4fee97ec",
   "metadata": {},
   "source": [
    "# Spherical Coordinate System\n",
    "\n",
    "## Converting Spherical Coordinates with Distances Into 3 Dimensions\n",
    "\n",
    "Note: The following is a supplement to the `orion_constellation` project. Here instead of relying on the original authors' x, y, z coordinates for the major stars in the Orion constellation, I have created the `orion.csv` file which takes the right ascension $\\alpha$, declination $\\delta$, and distance $d$*** data for each star and uses geometry via the equations below to convert this data into x, y, and z coordinates. Note that these coordinates do not match the original article because these are calculated differently than the article; however the each star's coordinates in each coordinate system are relationally consistent.\n",
    "\n",
    "The `orion.csv` file also includes supplemental data such as the star's estimated mass, radius, absolute brightness, etc. \n",
    "\n",
    "***I have found that consulting different sources for distance measurements to individual stars results in some discrepancies- i.e. distance to stars is inferred by brightness, color, redshift, etc. thus different sources have different estimates. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "661cfc80",
   "metadata": {},
   "source": [
    "Given ISO convention:\n",
    "<br>\n",
    "&emsp;radius, $r$ <br>\n",
    "&emsp;polar angle, $\\theta$ <br>\n",
    "&emsp;azimuth, $\\phi$\n",
    "<br><br>\n",
    "And astronomical:\n",
    "<br>\n",
    "&emsp;distance, $d$ <br>\n",
    "&emsp;right ascension, $\\alpha$ <br>\n",
    "&emsp;declination, $\\delta$ \n",
    "<br>\n",
    "<br>\n",
    "Equivalence: <br>\n",
    "&emsp;$r$ = $d$ <br>\n",
    "&emsp;$\\theta$ = 90° - $\\delta$  <br>\n",
    "&emsp;$\\phi$ = $\\alpha$ <br>\n",
    "\n",
    "\n",
    "Cartesian Coordinate Conversion: <br>\n",
    "&emsp;$x$  =  $r$ cos$\\phi$ sin$\\theta$ <br>\n",
    "&emsp;$y$  =  $r$ sin$\\phi$ sin$\\theta$ <br>\n",
    "&emsp;$z$  =  $r$ cos$\\theta$ <br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "081eaab6",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "from matplotlib import pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "f4d9b185",
   "metadata": {},
   "outputs": [],
   "source": [
    "orion_data = pd.read_csv('orion.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "c00e59ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Proper_Name</th>\n",
       "      <th>Bayer</th>\n",
       "      <th>RA_hr</th>\n",
       "      <th>RA_min</th>\n",
       "      <th>RA_sec</th>\n",
       "      <th>RA_hms</th>\n",
       "      <th>RA_dec</th>\n",
       "      <th>RA_adj</th>\n",
       "      <th>RA_rad</th>\n",
       "      <th>Dec_sign</th>\n",
       "      <th>...</th>\n",
       "      <th>Mass_+/-</th>\n",
       "      <th>Radius</th>\n",
       "      <th>Rad_+/-</th>\n",
       "      <th>x</th>\n",
       "      <th>x_adj</th>\n",
       "      <th>y</th>\n",
       "      <th>y_adj</th>\n",
       "      <th>z</th>\n",
       "      <th>z_adj</th>\n",
       "      <th>Unnamed: 35</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Betelgeuse</td>\n",
       "      <td>α Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.92</td>\n",
       "      <td>88.79</td>\n",
       "      <td>10.79</td>\n",
       "      <td>0.19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>892.50</td>\n",
       "      <td>128.5</td>\n",
       "      <td>0.13</td>\n",
       "      <td>4.00</td>\n",
       "      <td>6.19</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.80</td>\n",
       "      <td>1.28</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Rigel</td>\n",
       "      <td>β Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>5.24</td>\n",
       "      <td>78.63</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.00</td>\n",
       "      <td>78.90</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1.51</td>\n",
       "      <td>7.73</td>\n",
       "      <td>7.49</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-1.10</td>\n",
       "      <td>0.24</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bellatrix</td>\n",
       "      <td>γ Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.42</td>\n",
       "      <td>81.28</td>\n",
       "      <td>3.28</td>\n",
       "      <td>0.06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.37</td>\n",
       "      <td>2.33</td>\n",
       "      <td>2.41</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.68</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mintaka</td>\n",
       "      <td>δ Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.53</td>\n",
       "      <td>83.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.12</td>\n",
       "      <td>8.99</td>\n",
       "      <td>9.09</td>\n",
       "      <td>0.79</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>1.54</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alnilam</td>\n",
       "      <td>ε Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.60</td>\n",
       "      <td>84.05</td>\n",
       "      <td>6.05</td>\n",
       "      <td>0.11</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.00</td>\n",
       "      <td>32.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.39</td>\n",
       "      <td>13.19</td>\n",
       "      <td>13.34</td>\n",
       "      <td>1.40</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>2.05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Alnitak</td>\n",
       "      <td>ζ Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>5.68</td>\n",
       "      <td>85.19</td>\n",
       "      <td>7.19</td>\n",
       "      <td>0.13</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>10.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0.67</td>\n",
       "      <td>8.03</td>\n",
       "      <td>7.97</td>\n",
       "      <td>1.01</td>\n",
       "      <td>-0.27</td>\n",
       "      <td>1.15</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Saiph</td>\n",
       "      <td>κ Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.80</td>\n",
       "      <td>86.94</td>\n",
       "      <td>8.94</td>\n",
       "      <td>0.16</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>22.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>7.13</td>\n",
       "      <td>6.40</td>\n",
       "      <td>1.12</td>\n",
       "      <td>-1.09</td>\n",
       "      <td>0.04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Iota/ Na'ir al Saif</td>\n",
       "      <td>ι Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>5.59</td>\n",
       "      <td>83.86</td>\n",
       "      <td>5.86</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.30</td>\n",
       "      <td>8.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.44</td>\n",
       "      <td>13.15</td>\n",
       "      <td>4.07</td>\n",
       "      <td>1.35</td>\n",
       "      <td>-0.42</td>\n",
       "      <td>0.95</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M42</td>\n",
       "      <td>none</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.59</td>\n",
       "      <td>83.82</td>\n",
       "      <td>5.82</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.44</td>\n",
       "      <td>13.33</td>\n",
       "      <td>13.30</td>\n",
       "      <td>1.36</td>\n",
       "      <td>-1.26</td>\n",
       "      <td>1.08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Meissa</td>\n",
       "      <td>λ Orionis</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.59</td>\n",
       "      <td>83.78</td>\n",
       "      <td>5.78</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.30</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.11</td>\n",
       "      <td>9.76</td>\n",
       "      <td>10.20</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.80</td>\n",
       "      <td>3.56</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Dummy</td>\n",
       "      <td>dummy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Earth</td>\n",
       "      <td>Earth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Proper_Name      Bayer  RA_hr  RA_min  RA_sec  RA_hms  RA_dec  \\\n",
       "0            Betelgeuse  α Orionis    5.0    55.0    10.0    5.92   88.79   \n",
       "1                 Rigel  β Orionis    5.0    14.0    32.0    5.24   78.63   \n",
       "2             Bellatrix  γ Orionis    5.0    25.0     8.0    5.42   81.28   \n",
       "3               Mintaka  δ Orionis    5.0    32.0     0.0    5.53   83.00   \n",
       "4               Alnilam  ε Orionis    5.0    36.0    13.0    5.60   84.05   \n",
       "5               Alnitak  ζ Orionis    5.0    40.0    46.0    5.68   85.19   \n",
       "6                 Saiph  κ Orionis    5.0    47.0    45.0    5.80   86.94   \n",
       "7   Iota/ Na'ir al Saif  ι Orionis    5.0    35.0    26.0    5.59   83.86   \n",
       "8                   M42       none    5.0    35.0    17.0    5.59   83.82   \n",
       "9                Meissa  λ Orionis    5.0    35.0     8.0    5.59   83.78   \n",
       "10                Dummy      dummy    NaN     NaN     NaN     NaN     NaN   \n",
       "11                Earth      Earth    NaN     NaN     NaN     NaN     NaN   \n",
       "\n",
       "    RA_adj  RA_rad  Dec_sign  ...  Mass_+/-  Radius  Rad_+/-     x  x_adj  \\\n",
       "0    10.79    0.19       1.0  ...      1.25  892.50    128.5  0.13   4.00   \n",
       "1     0.63    0.01      -1.0  ...      3.00   78.90      7.4  1.51   7.73   \n",
       "2     3.28    0.06       1.0  ...      0.00    5.75      0.0  0.37   2.33   \n",
       "3     5.00    0.09      -1.0  ...      0.00   16.50      0.0  1.12   8.99   \n",
       "4     6.05    0.11      -1.0  ...      2.00   32.40      0.0  1.39  13.19   \n",
       "5     7.19    0.13      -1.0  ...     10.00   20.00      3.2  0.67   8.03   \n",
       "6     8.94    0.16      -1.0  ...      1.25   22.20      0.0  0.34   7.13   \n",
       "7     5.86    0.10      -1.0  ...      3.30    8.30      0.0  0.44  13.15   \n",
       "8     5.82    0.10      -1.0  ...      0.00    0.00      0.0  1.44  13.33   \n",
       "9     5.78    0.10       1.0  ...      3.30   13.40      0.0  1.11   9.76   \n",
       "10     NaN     NaN       NaN  ...       NaN     NaN      NaN   NaN  13.00   \n",
       "11     NaN    0.00       NaN  ...       NaN     NaN      NaN   NaN   0.00   \n",
       "\n",
       "        y  y_adj     z  z_adj  Unnamed: 35  \n",
       "0    6.19   0.76  0.80   1.28          NaN  \n",
       "1    7.49   0.09 -1.10   0.24          NaN  \n",
       "2    2.41   0.13  0.27   0.68          NaN  \n",
       "3    9.09   0.79 -0.05   1.54          NaN  \n",
       "4   13.34   1.40 -0.28   2.05          NaN  \n",
       "5    7.97   1.01 -0.27   1.15          NaN  \n",
       "6    6.40   1.12 -1.09   0.04          NaN  \n",
       "7    4.07   1.35 -0.42   0.95          NaN  \n",
       "8   13.30   1.36 -1.26   1.08          NaN  \n",
       "9   10.20   0.99  1.80   3.56          NaN  \n",
       "10    NaN  13.00   NaN  13.00          NaN  \n",
       "11    NaN   0.00   NaN   0.00          NaN  \n",
       "\n",
       "[12 rows x 36 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orion_data.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "37efe451",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0       427\n",
      "1       773\n",
      "2       243\n",
      "3       916\n",
      "4     1,342\n",
      "5       817\n",
      "6       722\n",
      "7      1325\n",
      "8      1344\n",
      "9     1,043\n",
      "10     1500\n",
      "11        0\n",
      "Name: Distance3, dtype: object\n"
     ]
    }
   ],
   "source": [
    "distances = orion_data['Distance3']\n",
    "print(distances)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "1adfe549",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    -5.85\n",
      "1    -7.84\n",
      "2    -2.78\n",
      "3    -4.20\n",
      "4    -6.89\n",
      "5    -6.00\n",
      "6    -6.10\n",
      "7    -4.25\n",
      "8     0.00\n",
      "9    -4.25\n",
      "10     NaN\n",
      "11     NaN\n",
      "Name: Abs_mag, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(orion_data['Abs_mag'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "4ef3e6c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Proper_Name', 'Bayer', 'RA_hr', 'RA_min', 'RA_sec', 'RA_hms', 'RA_dec',\n",
      "       'RA_adj', 'RA_rad', 'Dec_sign', 'Dec_deg', 'Dec_min', 'Dec_sec',\n",
      "       'Dec_dec', 'Dec_adj', 'Dec_rad', 'Dist_low', 'Celestia', 'Unnamed: 18',\n",
      "       'Dist', 'Dist_high', 'Distance2', 'Distance3', 'App_mag', 'Abs_mag',\n",
      "       'Mass', 'Mass_+/-', 'Radius', 'Rad_+/-', 'x', 'x_adj', 'y', 'y_adj',\n",
      "       'z', 'z_adj', 'Unnamed: 35'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(orion_data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "7d44dc25",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names = orion_data['Proper_Name']\n",
    "x = orion_data['x_adj']\n",
    "y = orion_data['y_adj']\n",
    "z = orion_data['z_adj']\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "fig_3d = plt.figure(figsize=(8,8))\n",
    "constellation3d = fig_3d.add_subplot(1,1,1,projection='3d')\n",
    "constellation3d.scatter(x[0], y[0], z[0], marker = '^', color = 'orange', label = names[0])\n",
    "constellation3d.scatter(x[1], y[1], z[1], marker = 'v', color = 'orange', label = names[1])\n",
    "constellation3d.scatter(x[2], y[2], z[2], marker = '>', color = 'orange', label = names[2] )\n",
    "constellation3d.scatter(x[3], y[3], z[3], marker = 's', color = 'red', label = names[3])\n",
    "constellation3d.scatter(x[4], y[4], z[4], marker = 'D', color = 'red', label = names[4])\n",
    "constellation3d.scatter(x[5], y[5], z[5], marker = 'd', color = 'red', label = names[5])\n",
    "constellation3d.scatter(x[6], y[6], z[6], marker = '<', color = 'orange', label = names[6])\n",
    "constellation3d.scatter(x[7], y[7], z[7], marker = '*', color = 'm', label = names[7])\n",
    "constellation3d.scatter(x[8], y[8], z[8], marker = 'H', color = 'm', label = names[8])\n",
    "constellation3d.scatter(x[9], y[9], z[9], marker = '+', color = 'black', label = names[9])\n",
    "# constellation3d.scatter(x[-1],y[-1],z[-1], marker = 'o', color = 'blue', label = names[10])\n",
    "\n",
    "constellation3d.set_xlabel('X coord')\n",
    "constellation3d.set_ylabel('Y coord')\n",
    "constellation3d.set_zlabel('Z coord')\n",
    "\n",
    "plt.legend(loc=4)\n",
    "plt.savefig('3d_actual_orientation_orion.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "c0ac2533",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12\n"
     ]
    }
   ],
   "source": [
    "print(len(orion_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "7145d5d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0.42\n",
       "1     0.18\n",
       "2     1.64\n",
       "3     2.20\n",
       "4     1.69\n",
       "5     1.88\n",
       "6     2.07\n",
       "7     2.77\n",
       "8     1.00\n",
       "9     3.47\n",
       "10    1.00\n",
       "11     NaN\n",
       "Name: App_mag, dtype: float64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orion_data['App_mag']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "117650ce",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names = orion_data['Proper_Name']\n",
    "x = orion_data['x_adj']\n",
    "y = orion_data['y_adj']\n",
    "z = orion_data['z_adj']\n",
    "marker = ['^','v','>','s','D','d','<','*','H','+','x','.']\n",
    "color = ['orange','orange','orange','red','red','red','orange','m', 'm','black','green','blue']\n",
    "\n",
    "\n",
    "fig_3d = plt.figure(figsize=(8,8))\n",
    "constellation3d = fig_3d.add_subplot(1,1,1,projection='3d')\n",
    "for i in range(len(orion_data)):\n",
    "    constellation3d.scatter(x[i], y[i], z[i], marker = marker[i], color = color[i], label = names[i])\n",
    "\n",
    "constellation3d.set_xlabel('X coord')\n",
    "constellation3d.set_ylabel('Y coord')\n",
    "constellation3d.set_zlabel('Z coord')\n",
    "\n",
    "plt.legend(loc=2)\n",
    "plt.savefig('3d_actual_orientation_orion.png')\n",
    "plt.show()"
   ]
  },
  {
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   "source": [
    "The 'dummy' data is added in in order to force the axes to the same scale"
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     },
     "metadata": {},
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    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "import pandas as pd\n",
    "\n",
    "\n",
    "df = orion_data\n",
    "\n",
    "start, end = 0, 10\n",
    "\n",
    "fig = go.Figure(data=go.Scatter3d(\n",
    "    x=df['x_adj'],\n",
    "    y=df['y_adj'],\n",
    "    z=df['z_adj'],\n",
    "    text=df['Proper_Name'][start:end],\n",
    "    mode='markers',\n",
    "    marker=dict(\n",
    "        sizemode='diameter',\n",
    "        sizeref=10,\n",
    "        size=6,\n",
    "        color = df['Dist'],\n",
    "        colorscale = 'Viridis',\n",
    "        colorbar_title = 'Distance',\n",
    "        line_color='rgb(140, 140, 170)'\n",
    "    )\n",
    "))\n",
    "\n",
    "\n",
    "fig.update_layout(height=1000, width=1000,\n",
    "                  title='3D Representation of Orion Constellation')\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "461ea02f",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "The plot above shows the 3-d model from the perspective of earth. If we were actually 'inside' the model at Earth's location we would see perspective on the stars and I believe they would line up to show our view. In any case, the plot gives an accurate, God's eye view of the stars. This can be duplicated for any group of stars as long as we know its position in the sky and its approximate distance from Earth. \n",
    "\n",
    "Very cool. \n",
    "\n",
    "Of course one could download Celestia, but this is more fun."
   ]
  }
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